AI fundamentals

• Mathematics
  • Linear algebra
  • Calculus
• Computer science
  • Programming Fundamentals (Python)
  • Data Structures and Algorithms
• Machine Learning
  • Data preprocessing
  • Supervised/Unsupervised learning
  • Reinforcement learning
• Deep Learning
  • Neural networks
    • Convolutional neural networks (CNNs)
    • Recurrent neural networks (RNNs)
  • Transformers
• Natural Language Processing
  • Text preprocessing
  • Word embeddings
  • Language models
• Computer Vision
  • Image processing
  • Object detection
  • Image segmentation
• Reinforcement Learning, Markov decision processes
• Explainable AI (XAI), Interpretability methods